Skip to main content

Design, Development and Implementation of a Knowledge-Based Leitstand

Objective

The objective of this project is to develop a knowledge-based system for decision support in production scheduling and control. The system will provide a graphical user interface and it is intended to use KBL as a stand-alone or as a module to be integrated in existing or future CIM systems.
The objective of the project is to develop a knowledge based leitstand, (KBL) ie a knowledge based computer aided graphical decision support system for short term interactive and automatic production scheduling and control. The KBL uses information production orders, production facilities and process specifications to generate schedules and to control production. The design of KBL is based on large experience on leitstand systems and is a major attempt to harness modern software technologies with the aim of making a decisive step in improving production management effectiveness.
The novel features of the work are:
inclusion of a knowledge base and an intelligent advising system to optimize productivity;
integration of different scheduling algorithms and company specific constraints;
easy and dynamic configurability by end users;
inclusion of simulation and user definable evaluation;
inclusion of open interfaces to other systems.
These features permit rapid customization without long error prone traditional paper specification and implementation cycles during the customer introduction phase.
The novel features of the work are:

- inclusion of a knowledge base and an intelligent advisory system to optimise productivity
- integration of different scheduling algorithms and company-specific constraints
- configurability by SME user personnel
- inclusion of simulation and analysis support
-inclusion of open interfaces to other systems (SFDC, DNC, etc).

The benefits to SMEs will lie in the improvement of production efficiency and the reduction of costs by the better scheduling and management of resources and stocks.

Coordinator

AHP Havermann und Partner GmbH
Address
Moosstraße 5
82319 Starnberg
Germany

Participants (3)

AIC Management
Italy
Address
Corso Re Umberto I 64
10128 Torino
INST OF PRODUCT DEVELOPMENT
Denmark
Address
, Building 4
2800 Lyngby
INTELLIGENT DECISION SYSTEMS
Spain
Address
Avd. Albufera, 153 4
28038 Madrid